Prediction and proactivity in real-time interactive music systems
Contribuinte(s) |
Pasquier, Phillippe Eigenfeldt, Arne Bown, Oliver McCaig, Graeme |
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Data(s) |
2013
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Resumo |
We advocate for the use of predictive techniques in interactive computer music systems. We suggest that the inclusion of prediction can assist in the design of proactive rather than reactive computational performance partners. We summarize the significant role prediction plays in human musical decisions, and the only modest use of prediction in interactive music systems to date. After describing how we are working toward employing predictive processes in our own metacreation software we reflect on future extensions to these approaches. |
Formato |
application/pdf |
Identificador | |
Publicador |
AAAI Press |
Relação |
http://eprints.qut.edu.au/64500/1/Brown%26Gifford_2013-Prediction_and_Proactivity-prepress.pdf Brown, Andrew R. & Gifford, Toby (2013) Prediction and proactivity in real-time interactive music systems. In Pasquier, Phillippe, Eigenfeldt, Arne, Bown, Oliver, & McCaig, Graeme (Eds.) Musical Metacreation : Papers from the 2013 AIIDE Workshop, AAAI Press, Northeastern University, Boston, Mass, pp. 35-39. |
Direitos |
Copyright 2013 [please consult the author] |
Fonte |
Creative Industries Faculty |
Palavras-Chave | #190407 Music Performance #generative #prediction #music #algorithmic #creation |
Tipo |
Conference Paper |